feat: implement human plan approval workflow and enhanced judge response handling #31
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…nse handling Major changes: - Add request_plan_approval tool for human plan approval workflow - Implement PLAN_PENDING_APPROVAL state for plan approval workflow - Add judge response repair system for non-JSON LLM responses - Add markdown-to-JSON coercion fallback for judge responses - Enhance workflow guidance to include research requirements visibility - Fix task size-based plan evaluation criteria (simplified for M, comprehensive for L/XL) - Implement unified workflow: all tasks go through planning phase - Add comprehensive test coverage for new functionality Key Features: - Human approval step before judge validation - Robust fallback handling for judge response parsing failures - Task-size-appropriate validation criteria - Enhanced workflow guidance with research requirement transparency - Improved error handling and response repair mechanisms This establishes the foundation for human-in-the-loop plan approval while maintaining robust automated validation and fallback handling.
- Enhanced test mocking in test_small_task_follows_unified_workflow to properly mock messaging providers - Applied ruff formatting to all source files - All tests now pass (183/183) - All quality checks pass (ruff, mypy, bandit) - Act (local GitHub Actions) setup is working correctly
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Description
Major changes:
Key Features:
This establishes the foundation for human-in-the-loop plan approval while maintaining robust automated validation and fallback handling.